Eric Battenberg
Title
Cited by
Cited by
Year
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
23662016
librosa: Audio and music signal analysis in python
B McFee, C Raffel, D Liang, DPW Ellis, M McVicar, E Battenberg, O Nieto
Proceedings of the 14th python in science conference 8, 18-25, 2015
12372015
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 74, 2015
437*2015
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ...
International Conference on Machine Learning, 5180-5189, 2018
3772018
Towards end-to-end prosody transfer for expressive speech synthesis with tacotron
RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ...
international conference on machine learning, 4693-4702, 2018
3062018
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
171*2017
Location-relative attention mechanisms for robust long-form speech synthesis
E Battenberg, RJ Skerry-Ryan, S Mariooryad, D Stanton, D Kao, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
672020
librosa/librosa: 0.7. 2
B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ...
Version 0.7 1, 2019
612019
Accelerating Non-Negative Matrix Factorization for Audio Source Separation on Multi-Core and Many-Core Architectures.
E Battenberg, D Wessel
ISMIR, 501-506, 2009
532009
Uncovering latent style factors for expressive speech synthesis
Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ...
arXiv preprint arXiv:1711.00520, 2017
502017
Implementing real-time partitioned convolution algorithms on conventional operating systems
E Battenberg, R Avizienis
Proceedings of the 14th International Conference on Digital Audio Effects …, 2011
472011
librosa 0.5. 0
B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ...
Zenodo. URL: https://doi. org/10 5281, 2017
462017
Analyzing Drum Patterns Using Conditional Deep Belief Networks.
E Battenberg, D Wessel
ISMIR, 37-42, 2012
432012
librosa: 0.4. 1
B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ...
Oct, 2015
382015
Effective use of variational embedding capacity in expressive end-to-end speech synthesis
E Battenberg, S Mariooryad, D Stanton, RJ Skerry-Ryan, M Shannon, ...
arXiv preprint arXiv:1906.03402, 2019
262019
Advances In The Parallelization Of Music And Audio Applications.
E Battenberg, A Freed, D Wessel
ICMC, 2010
242010
Semi-supervised generative modeling for controllable speech synthesis
R Habib, S Mariooryad, M Shannon, E Battenberg, RJ Skerry-Ryan, ...
arXiv preprint arXiv:1910.01709, 2019
232019
Hearing aid fitting procedure and processing based on subjective space representation
D Wessel, E Battenberg, A Schmeder, K Fitz, B Edwards
US Patent 8,135,138, 2012
222012
librosa/librosa: 0.6. 3
B McFee, M McVicar, S Balke, C Thomé, C Raffel, D Lee, O Nieto, ...
URL: https://doi. org/10.5281/zenodo 2564164, 2019
212019
Toward live drum separation using probabilistic spectral clustering based on the itakura-saito divergence
E Battenberg, V Huang, D Wessel
Audio Engineering Society Conference: 45th International Conference …, 2012
21*2012
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Articles 1–20